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Chapter

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Title

Efficient Clustering Schemes Towards Information Collection

Authors

[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • signal detection
  • clustering
  • classification
Abstract

EN One of the challenges in cooperative spectrum sensing is to optimize the energy consumption of the network. Delivery of all measurements from all the nodes to the fusion centre is not the best solution from the perspective of energy-efficiency. Clustering of nodes with similar channel conditions may reduce the amount of transmitted data, and in consequence reduce the amount of consumed energy. In this paper we investigate the performance of selected algorithms known in the domain of artificial intelligence, applied to perform reliable yet energy-aware spectrum sensing.

Pages (from - to)

45 - 58

DOI

10.1007/978-3-030-73423-7_4

URL

https://link.springer.com/chapter/10.1007/978-3-030-73423-7_4

Book

Cognitive Radio-Oriented Wireless Networks : 15th EAI International Conference, CrownCom 2020, Rome, Italy, November 25-26, 2020, Proceedings

Presented on

15th International Conference on Cognitive Radio Oriented Wireless Networks CrownCom 2020, 25-26.11.2020, Rome, Italy

Ministry points / chapter

20

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